Product Images Good Sense Triple Antibiotic And Pain Relief

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Product Label Images

The following 2 images provide visual information about the product associated with Good Sense Triple Antibiotic And Pain Relief NDC 0113-0679 by L. Perrigo Company, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

goodsense triple antibiotic ointment + pain relief - 05 10 17 6796462C4 B

goodsense triple antibiotic ointment + pain relief - 05 10 17 6796462C4 B

This is a Drug Facts label for a topical ointment containing the active ingredients Baciracin, Neomycin and Polymyxin. The ointment is for external use only and should not be used by anyone who is allergic to any of the ingredients. The directions for use vary depending on the age, but generally involve cleaning the affected area and applying a small amount of the product up to three times daily. The ointment should not be used on large areas of the body, or on deep or puncture wounds, animal bites or serious burns. If symptoms persist or get worse, or if a rash or other allergic reaction develops, the use of the ointment should be stopped and a doctor consulted. The ointment should be kept out of reach of children and stored at room temperature. The label provides a contact phone number for questions or comments about the product.*

Goodsense Triple Antibiotic ointment + pain relief - 05 10 17 6796462C4 F

Goodsense Triple Antibiotic ointment + pain relief - 05 10 17 6796462C4 F

GoodSense Triple Antibiotic is a 24-hour infection protection and pain-relieving ointment. It helps heal the skin to look healthy using Bacitracin Zinc, Neomycin Sulfate, Polymyxin B Sulfate, and Pramoxine HC. The ointment is comparable to Neosporin Pain Relief and is not affiliated with, manufactured or produced by the makers of Neosporin. This product is distributed by Perrigo®.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.